Analytics Engineer (Hybrid -Mumbai / Bangalore)

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 
Background
Gracenote is the world’s leading entertainment data and technology company. We power the top music services, consumer electronics companies, automakers, media companies and cable and satellite operators on the planet. At its core, Gracenote helps people find, discover and connect with the entertainment they love.
Gracenote does this by :
Global Databases - Creating, collecting and organizing detailed information about TV shows, sports, movies and music.
Best-in-Class Experience - Building best-in-class services and technologies to make TV, sports, movies and music more accessible to and discoverable by fans.
Highly Scalable Platform - All on a highly scalable platform that serves billions every month. The data Gracenote creates and the tech we invent is essential to 80% of Forbes’ Most Valuable Brands in Automotive, Media and Tech.
Job Purpose
We are currently looking for an Analytics Engineer with 3+ years of experience for our Business Intelligence & Analytics (BIA) team, which is part of Gracenote’s Global Quality Office. The BIA team is responsible for building standardized, scalable measurement and reporting solutions for our clients and internal teams. Some of our guiding principles are client-centricity, data-driven, transparency, proactiveness, better user-experience and engagement. This role is to assist in the organization’s journey to leverage our vast metadata content. .

Responsibilities

• Create and implement BI solutions
• Build and maintain data models
• Develop dashboards/ visualizations
• Drive user experience & engagement
• Technical knowledge and business focus
• Engage with internal stakeholders for requirements/use-cases
• Translate business requirements into standardized technical specifications
• Build and maintain BI catalogs, definitions, user-documentation and  training

Skills

Conceptual, hands-on and strong implementation experience in
Data ModellingAdvanced SQL, PythonAdvanced Power BI (Power Query, DAX, Visualization, Service, External Tools)Database, Cloud-data warehouse, Data-lake, Lakehouse, Query-enginesFamiliarity and working knowledge of:
AWS, Azure, Databricks, FabricDistributed computeModern data stackSoft skills
Problem solvingStrong communicationCollaboration and teamworkLearning agility for new technologies, languages, systems etc.Ability to process complex information and present it simply and clearly to users